Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter

Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter

This paper evaluates the performance of robust adaptive tracking techniques with the direct-state Kalman filter (DSKF) used in modern digital global navigation satellite system (GNSS) receivers. Under the assumption of a well-known Gaussian distributed model of the states and the measurements, the D...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Iñigo Cortés, Johannes Rossouw van der Merwe, Elena Simona Lohan, Jari Nurmi, Wolfgang Felber
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2022-01-01
Schriftenreihe:Sensors
Schlagworte:
global navigation satellite system (GNSS)
scalar tracking loop (STL)
direct-state Kalman filter (DSKF)
lookup table direct-state Kalman filter (LUT-DSKF)
loop-bandwidth control algorithm (LBCA)
adaptive tracking techniques
Online Zugang:https://www.mdpi.com/1424-8220/22/2/420

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https://www.mdpi.com/1424-8220/22/2/420

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